EPIC-TABSAT

EPIC-TABSAT analyzes targeted bisulfite sequencing (TBS) data and integrates results with array-based DNA methylation datasets to support epigenetic profiling and validation studies.


Key Features:

  • Targeted Bisulfite Sequencing Analysis: Processes TBS datasets to compute DNA methylation levels across targeted genomic regions.
  • Integration with Array-Based Methylation Data: Combines targeted sequencing results with chip-based DNA methylation datasets for comparative analysis.
  • Quality Metric Calculation: Computes sequencing quality metrics as part of TBS data analysis.
  • Methylation Calling: Performs methylation state determination from bisulfite sequencing reads.
  • Parallel Processing of Targets: Analyzes multiple sequencing files and genomic targets concurrently.
  • Epiallele Computation: Calculates target-specific epialleles for detailed methylation pattern analysis.

Scientific Applications:

  • Epigenomic Profiling: Investigates DNA methylation patterns using targeted bisulfite sequencing data.
  • Biomarker Validation: Validates epigenetic biomarkers identified in genome-wide methylation studies.
  • Clinical Epigenetics Research: Supports studies of methylation-based diagnostic and prognostic biomarkers.

Methodology:

EPIC-TABSAT calculates sequencing quality metrics, performs methylation calling from targeted bisulfite sequencing reads, computes target-specific epialleles, and integrates TBS results with array-based methylation datasets.

Topics

Details

License:
Unlicense
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R, Java, Perl, Python
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Publications

Krainer J, Weinhäusel A, Hanak K, Pulverer W, Özen S, Vierlinger K, Pabinger S. EPIC-TABSAT: analysis tool for targeted bisulfite sequencing experiments and array-based methylation studies. Nucleic Acids Research. 2019;47(W1):W166-W170. doi:10.1093/nar/gkz398. PMID:31106358. PMCID:PMC6602470.

PMID: 31106358
PMCID: PMC6602470
Funding: - E-Rare-3 program: 9003037603 - FWF Austrian Science: I 2742

Documentation

Links